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Publications

Recent Works

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition

Hamid Nasiri, Peter Garraghan, arXiv preprint arXiv:2501.12067, 2025. pdf

A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration

Mohammed Achite, Hamid Nasiri, Okan Mert Katipoğlu, Mohammed Abdallah, Roozbeh Moazenzadeh, Babak Mohammadi, Theoretical and Applied Climatology, vol. 156, no. 2, pp. 1-23, 2025. pdf

Designing an explainable bio-inspired model for suspended sediment load estimation: eXtreme Gradient Boosting coupled with Marine Predators Algorithm

Roozbeh Moazenzadeh, Okan Mert Katipoğlu, Ahmadreza Shateri, Hamid Nasiri, Mohammed Abdallah, Engineering Applications of Computational Fluid Mechanics, vol. 18, no. 1, p. 2391449, 2024. pdf

CatBoost-SHAP for modeling industrial operational flotation variables–A “conscious lab” approach

Saeed Chehreh Chelgani, Arman Homafar, Hamid Nasiri, Minerals Engineering, vol. 213, p. 108754, 2024. pdf

Machine learning for fatigue lifetime predictions in 3D-printed polylactic acid biomaterials based on interpretable extreme gradient boosting model

Hamid Nasiri, Ali Dadashi, Mohammad Azadi, Materials Today Communications, vol. 39, p. 109054, 2024. pdf published pdf

Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome

Fatma Hilal Yagin, Ahmadreza Shateri, Hamid Nasiri, Burak Yagin, Cemil Colak, Abdullah F Alghannam, PeerJ Computer Science, vol. 10, p. e1857, 2024. pdf

Medical Asset Management: Deep Learning Based Asset Usage Prediction in a Hospital Setting Using Real Data

Mona Esmaeili, Zeinab Akhavan, Hamid Nasiri, Yonatan Melese Worku, Sisay Tadesse Arzo, Andreas Stavropoulos, Michael Devetsikiotis, Payman Zarkesh-Ha, 2023 International Conference on Machine Learning and Applications (ICMLA), pp. 944-951, 2023. pdf

Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition

Hamid Nasiri, Mohammad Mehdi Ebadzadeh, Applied Soft Computing, vol. 148, p. 110867, 2023. pdf pre-proof pdf

Breast cancer diagnosis from histopathology images using deep neural network and XGBoost

Alireza Maleki, Mohammad Raahemi, Hamid Nasiri, Biomedical Signal Processing and Control, vol. 86, p. 105152, 2023. pdf published pdf

Modeling industrial hydrocyclone operational variables by SHAP-CatBoost - A “conscious lab” approach

Saeed Chehreh Chelgani, Hamid Nasiri, Arash Tohry, Hassan Reza Heidari, Powder Technology, vol. 420, p. 118416, 2023. pdf pre-proof pdf

Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm

Mohammed Abdallah, Babak Mohammadi, Hamid Nasiri, Okan Mert Katipoğlu, Modawy Adam Ali Abdalla, Mohammad Mehdi Ebadzadeh, Energy Reports, vol. 10, pp. 4198-4217, 2023. pdf

Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods

Alireza Farzipour, Roya Elmi, Hamid Nasiri, Diagnostics, vol. 13, no. 14, p. 2391, 2023. pdf

Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates

Saeid Saberi, Hamid Nasiri, Omid Ghorbani, Michael I Friswell, Saullo GP Castro, Materials, vol. 16, no. 15, p. 5381, 2023. pdf

Modeling operational cement rotary kiln variables with explainable artificial intelligence methods–a “Conscious Lab” development

Rasoul Fatahi, Hamid Nasiri, Arman Homafar, Rasoul Khosravi, Hossein Siavoshi, Saeed Chehreh Chelgani, Particulate Science and Technology, vol. 41, no. 5, pp. 715-724, 2023. pdf

Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Method

Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri, Arman Homafar, Computer Methods in Biomechanics and Biomedical Engineering, pp. 1-17, 2023. pdf

PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson’s disease

Paria Ghaheri, Ahmadreza Shateri, Hamid Nasiri, Software Impacts, vol. 16, p. 100504, 2023. pdf

Semantic Schema Based Genetic Programming for Symbolic Regression

Zahra Zojaji, Mohammad Mehdi Ebadzadeh, Hamid Nasiri, Applied Soft Computing, vol. 122, p. 108825, 2022. pdf

MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction

Hamid Nasiri, Mohammad Mehdi Ebadzadeh, Neurocomputing, vol. 507, pp. 292-310, 2022. pdf published pdf

Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost: a "Conscious Lab" approach

Rasoul Fatahi, Hamid Nasiri, Ehsan Dadfar, Saeed Chehreh Chelgani, Scientific Reports, vol. 12, no.1, pp. 1-13, 2022. pdf

Classification of Breast Tumors Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods

Mohammad Reza Abbasniya, Sayed Ali Sheikholeslamzadeh, Hamid Nasiri, Samaneh Emami, Computers and Electrical Engineering, vol. 103, p. 108382, 2022. pdf

Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost

Hamid Nasiri, Sharif Hasani, Radiography, vol. 28, no. 3, pp. 732-738, 2022. pdf pre-proof pdf

A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images

Hamid Nasiri, Seyed Ali Alavi, Computational Intelligence and Neuroscience, vol. 2022, p. 4694567, 2022. pdf

COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19

Sharif Hasani, Hamid Nasiri, Software Impacts, vol. 11, p. 100210, 2022. pdf pre-proof pdf

Modeling coking coal indexes by SHAP-XGBoost: Explainable artificial intelligence method

Arman Homafar, Hamid Nasiri, Saeed Chehreh Chelgani, Fuel Communications, vol. 13, p. 100078, 2022. pdf pre-proof pdf

Diagnosis of COVID-19 cases from chest X-ray images using deep neural network and LightGBM

Mobina Ezzoddin, Hamid Nasiri, Morteza Dorrigiv, International Conference on Machine Vision and Image Processing (MVIP), IEEE, 2022. pdf

Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM

Hamid Nasiri, Ghazal Kheyroddin, Morteza Dorrigiv, Mona Esmaeili, Amir Raeisi Nafchi, Mohsen Haji Ghorbani, Payman Zarkesh-Ha, IEEE world AI IoT congress (AIIoT), IEEE, 2022. pdf

Modeling of particle sizes for industrial HPGR products by a unique explainable AI tool-A “Conscious Lab” development

Saeed Chehreh Chelgani, Hamid Nasiri, Arash Tohry, Advanced Powder Technology, vol. 32, no. 11, pp. 4141-4148, 2021. pdf pre-proof pdf

Interpretable modeling of metallurgical responses for an industrial coal column flotation circuit by XGBoost and SHAP-A “Conscious Lab” development

Saeed Chehreh Chelgani, Hamid Nasiri, Mehdi Alidokht, International Journal of Mining Science and Technology, vol. 31, no. 6, pp. 1135-1144, 2021. pdf

Prediction of uniaxial compressive strength and modulus of elasticity for Travertine samples using an explainable artificial intelligence

Hamid Nasiri, Arman Homafar, Saeed Chehreh Chelgani, Results in Geophysical Science, vol. 8, p. 100034, 2021. pdf pre-proof pdf

A Novel Correlation-Based CUR Matrix Decomposition Method

Arash Hemmati, Hamid Nasiri, Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh, 6th International Conference on Web Research (ICWR), 2020. pdf

Design & Implementation of Persian CAPTCHA by Using Persian Grammar

Farzin Yaghmaee, Hamid Nasiri, 6th Conference on Information and Knowledge Technology (IKT 2014), 2014. pdf